Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …

The success of every company is based on the service provided to customers, so it is
essential to know the perception of buyers in relation to specific products, this allows the …

Deep neural networks have emerged as a leading approach towards handling many natural
language processing (NLP) tasks. Deep networks initially conquered the problems of …

Numerous studies have been conducted to meet the growing need for analytic tools capable
of processing increasing amounts of textual data available online, and sentiment analysis …

Sentiment analysis holds significant importance in research projects by providing valuable
insights into public opinions. However, the majority of sentiment analysis studies focus on …

Students' feedback is crucial for educational institutions to assess the performance of their
teachers, most opinions are expressed in their native language, especially for people in …

Sentiment analysis, the meta field of Natural Language Processing (NLP), attempts to
analyze and identify the sentiments in the opinionated text data. People share their …

Due to the widespread use of Twitter data and the diversity of scientific research, it is a
goldmine of data. Besides the emergence of new areas, including visual sentiment analysis …

Roman Urdu text is very widespread on many websites. People mostly prefer to give their
social comments or product reviews in Roman Urdu, and Roman Urdu is counted as non …

In the digital age, social media has emerged as a significant platform, generating a vast
amount of raw data daily. This data reflects the opinions of individuals from diverse …